This paper aims to present the synthesis of two models, Balpe’s computational linguistics model for natural language generation and Levy’s Information Economy Meta-Language ({IEML}). This synthesis is applied to semantic computing and ontology modeling. Through an interdisciplinary approach combining epistemological studies and computer simulations, the authors propose a framework for knowledge domain representation and information indexing and retrieval. This model permits to operate ontology-based descriptions with a conceptual language that is used to render different viewpoints and interoperable descriptions regardless of their basic vocabularies. This conceptual language is freed from natural language descriptions. Using {IEML} as a symbolic mediator, it is then possible to operate indexations an searches in a variety of contexts, with textual data or other media’s metadata (such as multimedia or hypermedia”s descriptions and multi-linguistic contexts). This work could be applied in little formalized environments. Nevertheless, some limitations must be stressed: the needed expertise in linguistics for describing specific dictionaries and in computer science for developing the integration of {IEML}. Future works will examine the possibility of using web big data from social media in order to make knowledge domain descriptions more ontogenetically autonomous in their transformations.